Natural Language Processing
intermediate
Large Language Model (LLM)
Neural network models with billions of parameters trained on vast text corpora to understand and generate human language.
Detailed Explanation
Large Language Models are a type of neural network model characterized by their massive size (often billions or trillions of parameters) and their training on enormous datasets of text. These models learn statistical patterns in language that allow them to predict the next word in a sequence, which enables them to generate coherent and contextually relevant text. LLMs like GPT-4, Claude, and LLaMA have demonstrated remarkable capabilities in understanding context, generating human-like text, reasoning, and even solving complex problems across various domains.
Examples
- GPT-4
- Claude
- LLaMA
- PaLM
Tags
language generation
text prediction
foundation models
Related Terms
- TransformerNeural network architecture that uses self-attention mechanisms to process sequential data.
- Prompt EngineeringThe practice of designing and optimizing inputs to AI systems to achieve desired outputs.
- Fine-tuningThe process of further training a pre-trained model on a specific dataset to adapt it for particular tasks.